📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study. (2017)

First Author: Alday EA

Attributed to: In silico Investigation of the Mechanisms of Abnormal Spontaneous Excitation from Cell to Organ - Insights on the Development of Atrial Fibrillation funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pcbi.1005270

PubMed Identifier: 28253254

Publication URI: http://europepmc.org/abstract/MED/28253254

Type: Journal Article/Review

Volume: 13

Parent Publication: PLoS computational biology

Issue: 3

ISSN: 1553-734X